1. Prof Kuldar Taveter, Tallinna Tehnikaülikool
Sissejuhatus ainesse “Agentorienteeritud modelleerimine ja multiagentsüsteemid” (IDK5151)
Prof Kuldar Taveter,
Tallinna Tehnikaülikool

2. Kohtumise kava Kes olen mina? Kes olete teie? Aine logistika Hindamine
Sissejuhatus agentidesse
Modelleerimisharjutus

3. Kes olen mina? Dip.Eng., TUT, 1988 M.Sc., TUT, 1995 Ph.D., TUT, 2004
Name: Kuldar Taveter
Position: Professor, Chair of Software Engineering
Education:
Dip.Eng., TUT, 1988
M.Sc., TUT, 1995
Ph.D., TUT, 2004
Work experience:
: Institute of Cybernetics
: Private companies
: Department of Informatics of TUT
: Technical Research Centre of Finland
: The University of Melbourne, Australia
: Department of Informatics of TUT
Jan-Aug 2011: University of South Carolina, USA
Research areas: Agent-oriented software engineering, multiagent systems, intelligent systems, ambient intelligence, agent-based mobile systems, agent-based simulation

4. Kes olete teie?

5. Aine logistika Neli kohtumist: Põhiline on iseseisev õppetöö:
: 19:30-21:00 IT-213D
: 19:30-21:00 ICT-403
: 19:30-21:00 ICT-403
: 19:30-21:00 ICT-403
Põhiline on iseseisev õppetöö:
Loengute videod ja esitlused (inglise keeles) leheküljel
Miniprojektid

6. supporting social behavior through computational systems
Kursuse asetus
the process of creating a new product to be sold by a business to its customers
Product
Design
Software
Engineering
Social
Computing
supporting social behavior through computational systems
Intelligent
Systems
the application of a systematic, disciplined, quantifiable approach to the development, operation, and maintenance of software
a system that perceives its environment and takes actions that maximize its chances of success

7. Kursuse eesmärk
To design by AOM a software-intensive intelligent social product that delivers the overall solution for the end user through interactions between different nodes and by following the execution loop of an abstract agent

8. Miniprojektid
Design and prototyping or simulation of a software-intensive social product
Range of topics:
Crowdsourcing applications
Intelligent digital assistants
Social applications
Two Mektory ( projects:
Healthminer
Phoenix
Vaadake veel eelmise aasta miniprojektide lehekülge

9. Millist laadi probleemid?
Allocation of scarce resources (e.g., electric power, parking spaces, emergency care, transportation)
Distributed situation assessment (e.g., traffic jams)
Decentralized decision-making (e.g., finding a grocery store, legal decision-making, taxation, intelligent traffic control)
Cooperative information exchange (currently no context, no help by other users)

10. Millist laadi süsteemid?
Distributed systems that obtain control information from the edge of the system to provide desired behaviors at the edge of the system
Examples:
Electricity distribution
Grocery shopping
Healthcare
Transportation
Traffic control
Telecom bandwidth

11. Hindamine Analüüsimudelite kaitsmine: 10%
Disainimudelite kaitsmine: 10%
Kirjalik aruanne, umbes 2000 sõna koos lisadega, joonistega, tabelitega ja lähtekoodi näidetega: 20%
Töö lõpukaitsmine: 10%
Kahetunnine kirjalik eksam: 50%

12. Ajakava Esimene kohtumine 01.02.2013: Sissejuhatus
: Tähtaeg tiimide moodustamiseks ja teemade valikuks
Teine kohtumine : Analüüsimudelite kaitsmine
Kolmas kohtumine : Disainimudelite kaitsmine
: Tähtaeg miniprojekti esitamiseks
Neljas kohtumine : miniprojekti lõpukaitsmine

13. Kirjandus
Sterling, L. & Taveter, K. (2009). The art of agent-oriented modeling. MIT Press.
Wooldridge, M. (2009). Introduction to multi-agent systems, 2nd Edition. Addison-Wesley.
d'Inverno, M. & Luck, M. (2001). Understanding agent systems. Springer-Verlag.
Padgham, L. & Winikoff, M. (2004). Developing intelligent agent systems: A practical guide. John Wiley and Sons.
Bellifemine, F., Caire, G, & Greenwood, D. (2005). Developing multi-agent systems with JADE. John Wiley & Sons.
Bordini, R. H., Hübner, J. F., & Wooldridge, M. (2007). Programming multi-agent systems in AgentSpeak using Jason. John Wiley & Sons.

14. Põhiõpik

15. The book’s mission
To address how computing can support individuals and social organizations in the environment where the computing is:
Pervasive;
Deployed over a range of devices;
With multiplicity of users
Approach for engineering software systems that are:
Open;
Intelligent;
Adaptive

16. Two kinds of systems Predominantly client-server systems
Increasingly more peer-to-peer systems
Peer-to-peer subsumes file sharing

17. Client-server systems
queries;
waits;
receives;
Server:
serves;
does not query.

18. Peer-to-peer systems All nodes are equal
Each node can work as a client or as a server
Each node can offer (computing, memory, bandwidth, information) resources

19. Client-server vs. peer-to-peer
Peer-to-peer resources are distributed
Peer-to-peer is more robust
Peer-to-peer is more secure
Peer-to-peer is trickier to test
Peer-to-peer is trickier to manage
Hybrid network: peer-to-peer network + client-server directory

20. The Viewpoint Framework
Viewpoint aspect
Abstraction layer
Interaction
Information
Behavior
Analysis
Role models
and organization model
Domain model
Goal models
Design
Agent models, acquaintance model, and interaction models
Knowledge model
Agent behavior
models
Prototyping
prototyping

21. What is model?
A hypothetical, simplified description of a complex entity or process
“A model should be as complex as it needs, but not more complex”, David Lorge Parnas
What features...
- are important?
- can be ignored?

22. Examples of models A model of the solar system
The model of a gold mine
The model of a chemical plant
Air traffic simulator:

23. Concepts for goal models
Functional goal
Quality goal
Role

24. What is goal? Dream with a deadline 
A particular state of affairs intended by one or more agents

25. Two kinds of goals
Functional goal: a goal that captures one or more desired scenarios. Example: attend the lecture
Quality goal: quality requirement of the achievement of the functional goal. Example: attend the lecture attentively

26. What is role?
Some capacity or position that the system requires in order to achieve its goals
Examples

27. Goal model Hierarchy of goals Roles associated with goals
Quality goals attached to goals

28. Fair grocery shopping
Customers post the prices they paid for their groceries and QoS information
A prospective shopper enters a grocery list and obtains a pointer to the store(s) with the lowest total price (and best service)
Each customer has an app representing his/her interests and interacting with the agents of the other customers
Results from initial experiments by Prof. Michael Huhns and Hongying Du: savings up to 21% can be obtained!

31. Goal model for fair grocery shopping
Value proposition

32. Tourist advisor

33. Goal model for tourist advisor
Value proposition

34. Smart parking

35. Harjutus
Koostage eesmärgimudel Smart Parking süsteemi kohta